Product Code: VMR112110864
The global demand for Self-Healing Networks Market is presumed to reach the market size of nearly USD XX MN by 2030 from USD XX MN in 2022 with a CAGR of XX% under the study period 2023 - 2030.
Self-healing networks refer to computer networks that have the ability to automatically detect, diagnose, and repair network faults or failures without any human intervention. These networks use advanced algorithms, artificial intelligence (AI), machine learning (ML), and other technologies to proactively monitor the network, identify potential issues, and implement solutions to prevent or mitigate network disruptions. Self-healing networks can help to improve network reliability and availability, reduce downtime and associated costs, and enhance the overall performance of the network.
Market Dynamics
As networks become more complex, with more devices and greater reliance on automation, the risk of failures and outages increases. Self-healing networks are becoming increasingly important as they can identify and mitigate issues before they become critical, reducing downtime and associated costs. Businesses and organizations are increasingly reliant on network connectivity for their operations. Any network downtime can have significant financial and reputational consequences leading to the adoption of self-healing networks that can proactively identify and fix issues to ensure high levels of network reliability and uptime. The development of AI and ML technologies has made it possible to develop advanced algorithms that can detect and analyze network issues in real time. Self-healing networks use these technologies to automate network maintenance and repair processes, enabling faster response times and reduced downtime. Traditional network management approaches can be time-consuming and costly. Self-healing networks can help reduce the need for manual intervention, resulting in cost savings for businesses and organizations. With the rise of cyber threats, such as hacking and ransomware attacks, self-healing networks are becoming increasingly important in ensuring network security. These networks can detect and respond to security threats in real time, helping to prevent potential data breaches and other security incidents. The growth in the adoption of cloud computing and IoT is driving the need for self-healing networks, as these technologies rely heavily on network connectivity. Self-healing networks can help ensure that these technologies operate effectively, reducing downtime and improving overall performance.
The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of self-healing networks. The growth and trends of self-healing networks industry provide a holistic approach to this study.
Market Segmentation
This section of the self-healing networks market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Component
- Solutions (Network Automation Software, Intent-Based Networking Tools, Network Monitoring Tools, Other Solutions)
- Services (Professional Services, Managed Services)
By Network Type
By Organization Size
By Deployment Mode
By Applications
- Network Provisioning
- Network Bandwidth Monitoring
- Policy Management
- Security Compliance Management
- Root Cause Analysis
- Network Traffic Management
- Network Access Control
- Other Applications
By Verticals
- IT And ITES
- BFSI
- Media And Entertainment
- Healthcare And Life Sciences
- Telecom
- Retail And Consumer Goods
- Education
- Other Verticals
Regional Analysis
This section covers the regional outlook, which accentuates current and future demand for the Self-Healing Networks market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the self-healing networks market include Fortra (US), VMWare (US), IBM (US), CommScope (US), SolarWinds (US), ManageEngine (US), BMC Software (US), Elisa Polystar (Sweden), HPE (US), Cisco (US), Ivanti (US), Easyvista (France), Huawei (China), ACT (India), Ericsson (Sweden), Nokia (US), Anuta Networks (US), Juniper (US), Bluecat (Canada), Park Place Technologies (US), Appnamic (India), Versa Networks (US), Parallel Wireless (US), Itential (US), Kentik (US), Domotz (US), and Beegol (Brazil). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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TABLE OF CONTENTS
1 . PREFACE
- 1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
- 1.2. Research Scope
- 1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology
2 . EXECUTIVE SUMMARY
- 2.1. Highlights of Market
- 2.2. Global Market Snapshot
3 . SELF-HEALING NETWORKS - INDUSTRY ANALYSIS
- 3.1. Introduction - Market Dynamics
- 3.2. Market Drivers
- 3.3. Market Restraints
- 3.4. Opportunities
- 3.5. Industry Trends
- 3.6. Porter's Five Force Analysis
- 3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Network Type
- 3.7.3 Market Attractiveness Analysis By Organization Size
- 3.7.4 Market Attractiveness Analysis By Deployment Mode
- 3.7.5 Market Attractiveness Analysis By Applications
- 3.7.6 Market Attractiveness Analysis By Verticals
- 3.7.7 Market Attractiveness Analysis By Region
4 . VALUE CHAIN ANALYSIS
- 4.1. Value Chain Analysis
- 4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
- 4.3. List of Potential Buyers
- 4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend
5 . GLOBAL SELF-HEALING NETWORKS MARKET ANALYSIS BY COMPONENT
- 5.1 Overview by Component
- 5.2 Historical and Forecast Data
- 5.3 Analysis by Component
- 5.4 Solutions (Network Automation Software, Intent-based Networking Tools, Network Monitoring Tools, Other Solutions) Historic and Forecast Sales by Regions
- 5.5 Services (Professional Services, Managed Services) Historic and Forecast Sales by Regions
6 . GLOBAL SELF-HEALING NETWORKS MARKET ANALYSIS BY NETWORK TYPE
- 6.1 Overview by Network Type
- 6.2 Historical and Forecast Data
- 6.3 Analysis by Network Type
- 6.4 Physical Historic and Forecast Sales by Regions
- 6.5 Virtual Historic and Forecast Sales by Regions
- 6.6 Hybrid Historic and Forecast Sales by Regions
7 . GLOBAL SELF-HEALING NETWORKS MARKET ANALYSIS BY ORGANIZATION SIZE
- 7.1 Overview by Organization Size
- 7.2 Historical and Forecast Data
- 7.3 Analysis by Organization Size
- 7.4 Large Enterprises Historic and Forecast Sales by Regions
- 7.5 SMEs Historic and Forecast Sales by Regions
8 . GLOBAL SELF-HEALING NETWORKS MARKET ANALYSIS BY DEPLOYMENT MODE
- 8.1 Overview by Deployment Mode
- 8.2 Historical and Forecast Data
- 8.3 Analysis by Deployment Mode
- 8.4 On-premises Historic and Forecast Sales by Regions
- 8.5 Cloud Historic and Forecast Sales by Regions
9 . GLOBAL SELF-HEALING NETWORKS MARKET ANALYSIS BY APPLICATIONS
- 9.1 Overview by Applications
- 9.2 Historical and Forecast Data
- 9.3 Analysis by Applications
- 9.4 Network Provisioning Historic and Forecast Sales by Regions
- 9.5 Network BAndwidth Monitoring Historic and Forecast Sales by Regions
- 9.6 Policy Management Historic and Forecast Sales by Regions
- 9.7 Security Compliance Management Historic and Forecast Sales by Regions
- 9.8 Root Cause Analysis Historic and Forecast Sales by Regions
- 9.9 Network Traffic Management Historic and Forecast Sales by Regions
- 9.10. Network Access Control Historic and Forecast Sales by Regions
- 9.11 Other Applications Historic and Forecast Sales by Regions
10 . GLOBAL SELF-HEALING NETWORKS MARKET ANALYSIS BY VERTICALS
- 10.1 Overview by Verticals
- 10.2 Historical and Forecast Data
- 10.3 Analysis by Verticals
- 10.4 IT And ITES Historic and Forecast Sales by Regions
- 10.5 BFSI Historic and Forecast Sales by Regions
- 10.6 Media And Entertainment Historic and Forecast Sales by Regions
- 10.7 Healthcare And Life Sciences Historic and Forecast Sales by Regions
- 10.8 Telecom Historic and Forecast Sales by Regions
- 10.9 Retail And Consumer Goods Historic and Forecast Sales by Regions
- 10.1 Education Historic and Forecast Sales by Regions
- 10.11 Other Verticals Historic and Forecast Sales by Regions
11 . GLOBAL SELF-HEALING NETWORKS MARKET ANALYSIS BY GEOGRAPHY
- 11.1. Regional Outlook
- 11.2. Introduction
- 11.3. North America Sales Analysis
- 11.3.1. Overview, Historic and Forecast Data Sales Analysis
- 11.3.2. North America By Segment Sales Analysis
- 11.3.3. North America By Country Sales Analysis
- 11.3.4. United State Sales Analysis
- 11.3.5. Canada Sales Analysis
- 11.3.6. Mexico Sales Analysis
- 11.4. Europe Sales Analysis
- 11.4.1. Overview, Historic and Forecast Data Sales Analysis
- 11.4.2. Europe by Segment Sales Analysis
- 11.4.3. Europe by Country Sales Analysis
- 11.4.4. United Kingdom Sales Analysis
- 11.4.5. France Sales Analysis
- 11.4.6. Germany Sales Analysis
- 11.4.7. Italy Sales Analysis
- 11.4.8. Russia Sales Analysis
- 11.4.9. Rest Of Europe Sales Analysis
- 11.5. Asia Pacific Sales Analysis
- 11.5.1. Overview, Historic and Forecast Data Sales Analysis
- 11.5.2. Asia Pacific by Segment Sales Analysis
- 11.5.3. Asia Pacific by Country Sales Analysis
- 11.5.4. China Sales Analysis
- 11.5.5. India Sales Analysis
- 11.5.6. Japan Sales Analysis
- 11.5.7. South Korea Sales Analysis
- 11.5.8. Australia Sales Analysis
- 11.5.9. Rest Of Asia Pacific Sales Analysis
- 11.6. Latin America Sales Analysis
- 11.6.1. Overview, Historic and Forecast Data Sales Analysis
- 11.6.2. Latin America by Segment Sales Analysis
- 11.6.3. Latin America by Country Sales Analysis
- 11.6.4. Brazil Sales Analysis
- 11.6.5. Argentina Sales Analysis
- 11.6.6. Peru Sales Analysis
- 11.6.7. Chile Sales Analysis
- 11.6.8. Rest of Latin America Sales Analysis
- 11.7. Middle East & Africa Sales Analysis
- 11.7.1. Overview, Historic and Forecast Data Sales Analysis
- 11.7.2. Middle East & Africa by Segment Sales Analysis
- 11.7.3. Middle East & Africa by Country Sales Analysis
- 11.7.4. Saudi Arabia Sales Analysis
- 11.7.5. UAE Sales Analysis
- 11.7.6. Israel Sales Analysis
- 11.7.7. South Africa Sales Analysis
- 11.7.8. Rest Of Middle East And Africa Sales Analysis
12 . COMPETITIVE LANDSCAPE OF THE SELF-HEALING NETWORKS COMPANIES
- 12.1. Self-Healing Networks Market Competition
- 12.2. Partnership/Collaboration/Agreement
- 12.3. Merger And Acquisitions
- 12.4. New Product Launch
- 12.5. Other Developments
13 . COMPANY PROFILES OF SELF-HEALING NETWORKS INDUSTRY
- 13.1. Company Share Analysis
- 13.2. Market Concentration Rate
- 13.3. Fortra (US)
- 13.3.1. Company Overview
- 13.3.2. Company Revenue
- 13.3.3. Products
- 13.3.4. Recent Developments
- 13.4. VMWare (US)
- 13.4.1. Company Overview
- 13.4.2. Company Revenue
- 13.4.3. Products
- 13.4.4. Recent Developments
- 13.5. IBM (US)
- 13.5.1. Company Overview
- 13.5.2. Company Revenue
- 13.5.3. Products
- 13.5.4. Recent Developments
- 13.6. CommScope (US)
- 13.6.1. Company Overview
- 13.6.2. Company Revenue
- 13.6.3. Products
- 13.6.4. Recent Developments
- 13.7. SolarWinds (US)
- 13.7.1. Company Overview
- 13.7.2. Company Revenue
- 13.7.3. Products
- 13.7.4. Recent Developments
- 13.8. ManageEngine (US)
- 13.8.1. Company Overview
- 13.8.2. Company Revenue
- 13.8.3. Products
- 13.8.4. Recent Developments
- 13.9. BMC Software (US)
- 13.9.1. Company Overview
- 13.9.2. Company Revenue
- 13.9.3. Products
- 13.9.4. Recent Developments
- 13.10. Elisa Polystar (Sweden)
- 13.10.1. Company Overview
- 13.10.2. Company Revenue
- 13.10.3. Products
- 13.10.4. Recent Developments
- 13.11. HPE (US)
- 13.11.1. Company Overview
- 13.11.2. Company Revenue
- 13.11.3. Products
- 13.11.4. Recent Developments
- 13.12. Cisco (US)
- 13.12.1. Company Overview
- 13.12.2. Company Revenue
- 13.12.3. Products
- 13.12.4. Recent Developments
- 13.13. Ivanti (US)
- 13.13.1. Company Overview
- 13.13.2. Company Revenue
- 13.13.3. Products
- 13.13.4. Recent Developments
- 13.14. Easyvista (France)
- 13.14.1. Company Overview
- 13.14.2. Company Revenue
- 13.14.3. Products
- 13.14.4. Recent Developments
- 13.15. Huawei (China)
- 13.15.1. Company Overview
- 13.15.2. Company Revenue
- 13.15.3. Products
- 13.15.4. Recent Developments
- 13.16. ACT (India)
- 13.16.1. Company Overview
- 13.16.2. Company Revenue
- 13.16.3. Products
- 13.16.4. Recent Developments
- 13.17. Ericsson (Sweden)
- 13.17.1. Company Overview
- 13.17.2. Company Revenue
- 13.17.3. Products
- 13.17.4. Recent Developments
- 13.18. Nokia (US)
- 13.18.1. Company Overview
- 13.18.2. Company Revenue
- 13.18.3. Products
- 13.18.4. Recent Developments
- 13.19. Anuta Networks (US)
- 13.19.1. Company Overview
- 13.19.2. Company Revenue
- 13.19.3. Products
- 13.19.4. Recent Developments
- 13.20. Juniper (US)
- 13.20.1. Company Overview
- 13.20.2. Company Revenue
- 13.20.3. Products
- 13.20.4. Recent Developments
- 13.21. Bluecat (Canada)
- 13.21.1. Company Overview
- 13.21.2. Company Revenue
- 13.21.3. Products
- 13.21.4. Recent Developments
- 13.22. Park Place Technologies (US)
- 13.22.1. Company Overview
- 13.22.2. Company Revenue
- 13.22.3. Products
- 13.22.4. Recent Developments
- 13.23. Appnamic (India)
- 13.23.1. Company Overview
- 13.23.2. Company Revenue
- 13.23.3. Products
- 13.23.4. Recent Developments
- 13.24. Versa Networks (US)
- 13.24.1. Company Overview
- 13.24.2. Company Revenue
- 13.24.3. Products
- 13.24.4. Recent Developments
- 13.25. Parallel Wireless (US)
- 13.25.1. Company Overview
- 13.25.2. Company Revenue
- 13.25.3. Products
- 13.25.4. Recent Developments
- 13.26. Itential (US)
- 13.26.1. Company Overview
- 13.26.2. Company Revenue
- 13.26.3. Products
- 13.26.4. Recent Developments
- 13.27. Kentik (US)
- 13.27.1. Company Overview
- 13.27.2. Company Revenue
- 13.27.3. Products
- 13.27.4. Recent Developments
- 13.28. Domotz (US)
- 13.28.1. Company Overview
- 13.28.2. Company Revenue
- 13.28.3. Products
- 13.28.4. Recent Developments
- 13.29. Beegol (Brazil).
- 13.29.1. Company Overview
- 13.29.2. Company Revenue
- 13.29.3. Products
- 13.29.4. Recent Developments
Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies